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Pengaruh Diskon dan Cashback terhadap Keputusan Pembelian Konsumen di E-Commerce (Studi kasus shopee)
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 31
, No 1
(2025)
This study aims to analyze the effect of discounts and cashback on consumer purchasing decisions on the Shopee e-commerce platform. Using a quantitative approach, data were collected through questionnaires distributed to 100 respondents who are active Shopee users. The results of the analysis show that discounts have a positive and significant effect on purchasing decisions, where consumers tend to be more interested in shopping when offered attractive discounts. In addition, cashback programs h...
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Kontribusi Big Data Analytics dalam Proses Audit Terhadap Audit Delay dan Kualitas Audit
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 31
, No 1
(2025)
The use of Big Data Analytics (BDA) in the financial audit process has altered the traditional audit method by improving audit quality and efficiency. The purpose of this study is to critically assess BDA's role in reducing audit delays and increasing audit quality. Using a literature review approach, this study intends to consolidate findings from national and international studies published between 2017 and 2024 that focus on the role of BDA in audit procedural transformation, fraud detection,...
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Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection
Setiadi, De Rosal Ignatius Moses
; Ojugo, Arnold Adimabua
; Pribadi, Octara
; Kartikadarma , Etika
; Setyoko, Bimo Haryo
; Widiono, Suyud
; Robet, Robet
; Aghaunor, Tabitha Chukwudi
; Ugbotu, Eferhire Valentine
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Breast cancer is the most prevalent cancer among women worldwide, requiring early and accurate diagnosis to reduce mortality. This study proposes a hybrid classification pipeline that integrates Hybrid Statistical Feature Selection (HSFS) with unsupervised LSTM-guided feature extraction for breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Initially, 20 features were selected using HSFS based on Mutual Information, Chi-square, and Pearson Correlation. To addres...
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Peran Sumber Daya Manusia, Pendidikan, dan Kebijakan Pemerintah dalam Meningkatkan Pertumbuhan Ekonomi Indonesia
Devi Prameswati
; Fikria Hanifa Nabiha
; Flira Tri Octaviani
; Puri, Gista Alfania
; Kayla Aryani Putri Nugroho
; Ahmad Setiawan Nuraya
DHARMA EKONOMI
Vol 32
, No 1
(2025)
The study was conducted to analyze the relationship between the quality of human resources (HR) and economic growth in Indonesia which aims to determine the role of Human Resources, Education, and Government Policy in Indonesia's economic growth. By using descriptive qualitative research methods, data were collected through literature studies by collecting journals and articles spread across the Internet. The results of the study obtained were that 1) The Role of Human Resources in Economic Grow...
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Analisis Teknologi terhadap Perekonomian Nasional: Studi Kasus Kontribusi GoTo terhadap Pendapatan Indonesia
Abiyyu Rahmatullah
; Agus Rizki Pandapotan Siagian
; Ahmad Devani Yuslah
; Alfia Damar Yanti
; Annisa, Fesya Diva
; Ahmad Setiawan Nuraya
DHARMA EKONOMI
Vol 32
, No 1
(2025)
The research analyzes the impact of technology on Indonesia's national economy, focusing on GoTo's contribution as a leading technology company. GoTo, born from the merger of Gojek and Tokopedia, has created an innovative business model that connects consumers and businesses through an efficient digital platform. Secondary data analysis from LPEM FEB UI (2023), Aji (2023), Jerry (2023) SMERU Research Institute (2022), and other relevant sources, shows that GoTo makes a significant contribution t...
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Analisis Peran Akumulasi Modal dalam Pertumbuhan Ekonomi: Faktor-Faktor Pendorong Pertumbuhan Ekonomi di Indonesia
Herlina Reva Carita
; Haura Khalisa Hakim
; Raden Naufal Hilmi Saputra
; Ni Komang Mia Fabiola
; Izzan Shulhan Albar
; Vanessa Azahra Rohman
; Ahmad Setiawan Nuraya
DHARMA EKONOMI
Vol 32
, No 1
(2025)
Economic growth is a complex process influenced by various factors, one of which is capital accumulation. Capital accumulation plays a crucial role in increasing production capacity, creating employment opportunities, and enhancing labor productivity. This study analyzes the role of capital accumulation in Indonesia’s economic growth by highlighting key factors contributing to national output expansion. Using the growth accounting approach and neoclassical growth theory, this research confirms t...
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Pengaruh Kecepatan, Maintanance, Ketelitian dan Strategi Pemasaran terhadap Kepuasan Pelanggan pada CV Andi Jaya Technology
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 31
, No 1
(2025)
Customer satisfaction is a key factor in the success of a company, especially in the technology industry that demands fast, accurate, and quality service. This study aims to analyze the effect of Speed, Maintenance, Accuracy, and Marketing Strategy variables on Customer Satisfaction at CV. Andi Jaya Technology. The research method used is regression analysis with t-test to measure the effect of each variable partially and F-test to see the effect simultaneously. The results of the study show tha...
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Pengaruh Penerapan Standar Akuntansi UMKM Terhadap Kualitas Laporan Keuangan UMKM Pada UMKM Tercatat di Kecamatan Lakarsantri
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 31
, No 1
(2025)
The purpose of this study is to assess how the Financial Accounting Standard for Micro, Small, and Medium Entities (SAK EMKM) has improved the quality of financial statements of businesses in Lakarsantri Sub-district. Using a survey-based quantitative research methodology, information was collected from 40 MSME respondents through questionnaires. Partial Least Square (PLS) analysis was conducted on the data using WarpPLS software version 8.0. The results show that the implementation of SAK EMKM...
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Adaptive Cyber Defense using Advanced Deep Reinforcement Learning Algorithms: A Real-Time Comparative Analysis
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Cybersecurity is continuously challenged by increasingly sophisticated and dynamic cyber-attacks, necessitating advanced adaptive defense mechanisms. Deep Reinforcement Learning (DRL) has emerged as a promising approach, offering significant advantages over traditional intrusion detection methods through real-time adaptability and self-learning capabilities. This paper presents an advanced adaptive cybersecurity framework utilizing five prominent DRL algorithms: Deep Q-Network (DQN), Proximal Po...
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An Intelligent Route Planning Approach Using Modified Particle Swarm Optimization for Robot Assisted Minimally Invasive Surgery
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Minimally invasive surgery offers several advantages, including reduced blood loss, smaller incisions, less pain, and a lower risk of complications than open surgery. This approach enhances patient comfort and supports faster recovery. When guided by optimal path planning, surgical robots can accurately navigate the body to remove malignant tumors with high precision. This study proposes a Modified Particle Swarm Optimization (MPSO) algorithm to determine the optimal path for robotic-assisted mi...
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